Topics in Online Markov Decision Processes
<p>This dissertation describes sequential decision making problems in non-stationary environments. Online learning algorithms deal with non-stationary environments, but generally there is no notion of a dynamic state to model future impacts of past actions. State-based models are common in sto...
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2015
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| Online Access: | http://hdl.handle.net/10161/11312 |